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Modeling Perspective
A modeling perspective in information systems is a particular way to represent pre-selected aspects of a system. Any perspective has a different focus, conceptualization, dedication and visualization of what the model is representing. The traditional way to distinguish between modeling perspectives is structural, functional and behavioral/processual perspectives. This together with rule, object, communication and actor and role perspectives is one way of classifying modeling approaches. John Krogstie (2003)Conceptual modeling, Types of perspectives Structural modeling perspective This approach concentrates on describing the static structure. The main concept in this modeling perspective is the entity, this could be an object, phenomena, concept, thing etc. The data modeling languages have traditionally handled this perspective, examples of such being: *The ER-language (Entity-Relationship) * Generic Semantic Modeling language (GSM) *Other approaches including: :*The NIAM la ...
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Information System
An information system (IS) is a formal, sociotechnical, organizational system designed to collect, process, store, and distribute information. From a sociotechnical perspective, information systems are composed by four components: task, people, structure (or roles), and technology. Information systems can be defined as an integration of components for collection, storage and processing of data of which the data is used to provide information, contribute to knowledge as well as digital products that facilitate decision making. A computer information system is a system that is composed of people and computers that processes or interprets information. The term is also sometimes used to simply refer to a computer system with software installed. "Information systems" is also an academic field study about systems with a specific reference to information and the complementary networks of computer hardware and software that people and organizations use to collect, filter, process, ...
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Object-oriented Programming Language
Object-oriented programming (OOP) is a programming paradigm based on the concept of "objects", which can contain data and code. The data is in the form of fields (often known as attributes or ''properties''), and the code is in the form of procedures (often known as ''methods''). A common feature of objects is that procedures (or methods) are attached to them and can access and modify the object's data fields. In this brand of OOP, there is usually a special name such as or used to refer to the current object. In OOP, computer programs are designed by making them out of objects that interact with one another. OOP languages are diverse, but the most popular ones are class-based, meaning that objects are instances of classes, which also determine their types. Many of the most widely used programming languages (such as C++, Java, Python, etc.) are multi-paradigm and they support object-oriented programming to a greater or lesser degree, typically in combination with i ...
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Information Systems
An information system (IS) is a formal, sociotechnical, organizational system designed to collect, process, store, and distribute information. From a sociotechnical perspective, information systems are composed by four components: task, people, structure (or roles), and technology. Information systems can be defined as an integration of components for collection, storage and processing of data of which the data is used to provide information, contribute to knowledge as well as digital products that facilitate decision making. A computer information system is a system that is composed of people and computers that processes or interprets information. The term is also sometimes used to simply refer to a computer system with software installed. "Information systems" is also an academic field study about systems with a specific reference to information and the complementary networks of computer hardware and software that people and organizations use to collect, filter, process, ...
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Methodology For Creating Business Knowledge
Ingeman Arbnor (born January 25, 1949) is a Swedish economist, Professor at the Lund University, Lund, known for his international bestseller ''Methodology for Creating Business Knowledge'' written with Björn Bjerke. Biography Ingeman Arbnor was born in Sweden in 1949, and studied Economics at the Lund University. A few years, later Arbnor was appointed to his first professorial position at the Lund University. Björn Bjerke supervised the final phase of Arbnor’s doctoral work and a deep professional relation developed, resulting in their becoming coauthors. It is out of this relationship that "Methodology for Creating Business Knowledge" was born and developed. His dissertation containing what is now considered classic methodological reorientations.About the Authors of "Methodology for C ...
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Björn Bjerke
Björn Bjerke (1941–2018) was a Swedish economist, professor in entrepreneurship and small firms at Stockholm University, known for the 1997 book "''Methodology for Creating Business Knowledge''" written with Ingeman Arbnor. Bjerke received his PhD from the Lund University, where he kept working for some years. Later he held professorships at the Waikato University in New Zealand, the King Fahd University of Petroleum and Minerals in Saudi Arabia, University of Maiduguri in Nigeria and the University of Southern California. He was also Senior Fellow at the National University of Singapore in Singapore.Vitae - Björn Bjerke at fek.su.se. Retrieved 26 May 2008. Back in Sweden in the new millennium Bjerke was working at the Malmö University CollegeChris Steyaert, Daniel Hjorth (2006) ''Entrepreneurship as Social Change''. p.ix before going to Stockholm. At Stockholm University Bjerke led a research group in entrepreneurship consisting of 15 junior researchers. From 2007 to 2011 ...
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Ingeman Arbnor
Ingeman Arbnor (born January 25, 1949) is a Swedish economist, Professor at the Lund University, Lund, known for his international bestseller ''Methodology for Creating Business Knowledge'' written with Björn Bjerke. Biography Ingeman Arbnor was born in Sweden in 1949, and studied Economics at the Lund University. A few years, later Arbnor was appointed to his first professorial position at the Lund University. Björn Bjerke supervised the final phase of Arbnor’s doctoral work and a deep professional relation developed, resulting in their becoming coauthors. It is out of this relationship that "Methodology for Creating Business Knowledge" was born and developed. His dissertation containing what is now considered classic methodological reorientations.About the Authors of "Methodology for Cre ...
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View Model
A view model or viewpoints framework in systems engineering, software engineering, and enterprise engineering is a framework which defines a coherent set of ''views'' to be used in the construction of a system architecture, software architecture, or enterprise architecture. A ''view'' is a representation of a whole system from the perspective of a related set of concerns.ISO/IEC/IEEE 42010:2011, Systems and so— Architecture description Since the early 1990s there have been a number of efforts to prescribe approaches for describing and analyzing system architectures. These recent efforts define a set of views (or viewpoints). They are sometimes referred to as architecture frameworks or enterprise architecture frameworks, but are usually called "view models". Usually a ''view'' is a work product that presents specific architecture data for a given system. However, the same term is sometimes used to refer to a view ''definition'', including the particular viewpoint and the c ...
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Three Schema Approach
The three-schema approach, or three-schema concept, in software engineering is an approach to building information systems and systems information management that originated in the 1970s. It proposes three different views in systems development, with conceptual modelling being considered the key to achieving data integration. Overview The three-schema approach provides for three types of schemas with schema techniques based on formal language descriptions: * External schema for user views * Conceptual schema integrates external schemata * Internal schema that defines physical storage structures At the center, the conceptual schema defines the ontology of the concepts as the users think of them and talk about them. The physical schema according to Sowa (2004) "describes the internal formats of the data stored in the database, and the external schema defines the view of the data presented to the application programs." The framework attempted to permit multiple data models to ...
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Modeling Language
A modeling language is any artificial language that can be used to express information or knowledge or systems in a structure that is defined by a consistent set of rules. The rules are used for interpretation of the meaning of components in the structure. Overview A modeling language can be graphical or textual. * ''Graphical'' modeling languages use a diagram technique with named symbols that represent concepts and lines that connect the symbols and represent relationships and various other graphical notation to represent constraints. * ''Textual'' modeling languages may use standardized keywords accompanied by parameters or natural language terms and phrases to make computer-interpretable expressions. An example of a graphical modeling language and a corresponding textual modeling language is EXPRESS. Not all modeling languages are executable, and for those that are, the use of them doesn't necessarily mean that programmers are no longer required. On the contrary, exec ...
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Model Driven Engineering
Model-driven engineering (MDE) is a software development methodology that focuses on creating and exploiting domain models, which are conceptual models of all the topics related to a specific problem. Hence, it highlights and aims at abstract representations of the knowledge and activities that govern a particular application domain, rather than the computing (i.e. algorithmic) concepts. Overview The MDE approach is meant to increase productivity by maximizing compatibility between systems (via reuse of standardized models), simplifying the process of design (via models of recurring design patterns in the application domain), and promoting communication between individuals and teams working on the system (via a standardization of the terminology and the best practices used in the application domain). For instance, in model-driven development, technical artifacts such as source code, documentation, tests, and more are generated algorithmically from a domain model. A modeling p ...
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General-purpose Modeling
General-purpose modeling (GPM) is the systematic use of a general-purpose modeling language to represent the various facets of an object or a system. Examples of GPM languages are: * The Unified Modeling Language (UML), an industry standard for modeling software-intensive systems * EXPRESS, a data modeling language for product data, standardized as ISO 10303-11 * IDEF, a group of languages from the 1970s that aimed to be neutral, generic and reusable * Gellish, an industry standard natural language oriented modeling language for storage and exchange of data and knowledge, published in 2005 * XML, a data modeling language now beginning to be used to model code (MetaL, Microsoft .Ne GPM languages are in contrast with domain-specific modeling languages (DSMs). See also *Model-driven engineering Model-driven engineering (MDE) is a software development methodology that focuses on creating and exploiting domain models, which are conceptual models of all the topics related to ...
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Glossary Of Unified Modeling Language Terms
Glossary of Unified Modeling Language (UML) terms provides a compilation of ''terminology'' used in all versions of ''UML'', along with their ''definitions''. Any notable distinctions that may exist between versions are noted with the individual entry it applies to. A * Abstract - An indicator applied to a classifier (e.g., actor, class, use case) or to some features of a classifier (e.g., a class's operations) showing that the feature is incomplete and is intended not to be instantiated, but to be specialized by other definitions. * Abstract class - A class that does not provide a complete declaration, perhaps because it has no implementation method identified for an operation. By declaring a class as ''abstract'', one intends to prohibit direct instantiation of the class. An abstract class cannot directly instantiate objects; it must be inherited from before it can be used. * Abstract data type * Abstract operation - Unlike attributes, class operations can be abstract, meaning ...
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